My current usage is a fanless opnsense on a thin client and a fanless switch. The very old iron is from my former job. My strange problem is that I need to find a way to burn power to prevent meter from going negative due to PV surplus. So local LLM that runs for a few hours during the day is a good solution for that. The noise is no problem then, since sufficiently far and muffled.

I’ve got half of rack full of old servers, switches and routers, so I’m used to screamers. If the system pulls less than a kW I’m good.

That soup is already cooked. And obtaining consent is prohibitive, so your data set will be tiny.

Thanks, very reasonable prices. Need to look for some 32-64 GB HBM parts, provided these don’t run too hot.

The other AI companies are the same or worse.

Can you provide some salient search terms? I would like to look what’s there.

Read Ed Zitron.

Friends don’t let friends use Oracle.

I bet they’re going to shred these unused GPUs after the bubble pops, to make sure these won’t appear on the free market.

No. Solar on my roof is more affordable than to buy same solar juice for 0.3 EUR/kWh from the power company. So much that my infrastructure ROIs over less than two years.

The erudite content contributors already left in a sequence of exit events. This is just another nail into the coffin of someone who died a long time ago.

Digg died mostly due starting to suck so badly people walked. For Reddit, there isn’t even a platform to escape to. But people are now less online in general and smeared over low-brow platforms like Instagram and TikTok.

Which costs? It’s a PC. The power is free, since spare PV capacity.

The rogue AI will be the P2P network.

Still not nearly what biological neural circuits are capable of.

Please show some proof that their GPU DCs are affected.

Not enough GPU capacity (embargoed) and not enough local talent. Also, not enough money vs trillions the hyperscalers are burning. Their AI drones with small models are sufficiently capable, though.

You can aggregate spare LLM capacity in a collaborative p2p fashion. But my reasons would be to use spare PV capacity to run an uncensored model during daytime with full privacy.

Um, no. /r/collapse died a long time ago as a community.

On the long run, it makes it irrelevant. Nobody even thinks about Digg.

Preferably. See the Whonix approach in Qubes OS. There you can be only targeted as a class of Tor users, not as an individual. The blast radius of system compromise is limited, requiring a privilege escalation to break out of containment.